Tag Archives: speech recognition

The Dawn of Artificial Intelligence: A Journey Through Time

AI

Artificial Intelligence (AI) has become an integral part of our daily lives, influencing everything from how we interact with technology to how businesses operate. But where did it all begin? Let’s take a journey through the early days of AI, exploring the key milestones that have shaped this fascinating field.

Early Concepts and Inspirations

The concept of artificial beings with intelligence dates back to ancient myths and legends. Stories of mechanical men and intelligent automata can be found in various cultures, reflecting humanity’s long-standing fascination with creating life-like machines1. However, the scientific pursuit of AI began much later, with the advent of modern computing.

The Birth of AI as a Discipline

The field of AI was officially founded in 1956 during the Dartmouth Conference, organized by computer science pioneers John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon2. This conference is often considered the birth of AI as an academic discipline. The attendees proposed that “every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it.”

Early Milestones

One of the earliest successful AI programs was written in 1951 by Christopher Strachey, who later became the director of the Programming Research Group at the University of Oxford. Strachey’s checkers (draughts) program ran on the Ferranti Mark I computer at the University of Manchester, England3. This program demonstrated that machines could perform tasks that required a form of intelligence, such as playing games.

In 1956, Allen Newell and Herbert A. Simon developed the Logic Theorist, a program designed to mimic human problem-solving skills. This program was able to prove mathematical theorems, marking a significant step forward in AI research4.

The Rise and Fall of AI Hype

The initial success of AI research led to a period of great optimism, often referred to as the “AI spring.” Researchers believed that human-level AI was just around the corner. However, progress was slower than expected, leading to periods of reduced funding and interest known as “AI winters”4. Despite these setbacks, significant advancements continued to be made.

The Advent of Machine Learning

The 1980s and 1990s saw the rise of machine learning, a subset of AI focused on developing algorithms that allow computers to learn from and make predictions based on data. This period also saw the development of neural networks, inspired by the structure and function of the human brain4.

The Modern Era of AI

The 21st century has witnessed a resurgence of interest and investment in AI, driven by advances in computing power, the availability of large datasets, and breakthroughs in algorithms. The development of deep learning, a type of machine learning involving neural networks with many layers, has led to significant improvements in tasks such as image and speech recognition4.

Today, AI is a rapidly evolving field with applications in various domains, including healthcare, finance, transportation, and entertainment. From virtual assistants like me, Microsoft Copilot, to autonomous vehicles and systems, AI continues to transform our world in profound ways.

A Copilot self generated image when queried “Show me what you look like”. CP

Conclusion

The journey of AI from its early conceptual stages to its current state is a testament to human ingenuity and perseverance. While the field has faced numerous challenges and setbacks, the progress made over the past few decades has been remarkable. As we look to the future, the potential for AI to further revolutionize our lives remains immense.

2: Timescale 3: Encyclopedia Britannica 4: Wikipedia 1: Wikipedia


For the Silo, Microsoft Copilot AI. 😉

Why Smart Speakers Were Popular Gift Idea Again This Holiday Season

Smart Speakers 101  The trendy devices can help you with everything from appointment reminders to grocery shopping lists to playing your favorite music and podcasts. It’s that last item that has the radio world excited. Find out why all the buzz is good news not only for broadcasters but also importantly for you.

A recent trend has shown an increase in radio listenership through popular smart speakers such as Google Home and Amazon Alexa. So what can broadcasters do to take advantage of this trend? Steve Goldstein of Amplifi Media and Sonic Ai aims to help.

A broadcaster by trade, most recently as EVP at Saga Communications, Steve saw a shift to on-demand content, and in 2015 launched Amplifi, a firm focused on developing on-demand audio—the intersection of podcasting and broadcasting. Earlier this year, Steve partnered with Jacobs Media on Sonic Ai, who develops smart speaker skills (more on skills later) for podcasters and broadcasters.

So what is it about smart speakers that make it easier for people to listen to radio? Steve explains, “There are a number of factors. For starters, the number of radios in the home has been on a steady decline. By some estimates, two-thirds of homes do not have radios. Generationally it’s even fewer.” Steve says the notion that it’s a choice between a radio and something else isn’t really true anymore – in some homes, there is no radio.

While it may be hard for those of us in the broadcast industry to imagine, the smartphone has replaced the radio and clock radio in many homes. “The smartphone is an entertainment hub,” Steve says. “It’s where people listen to music, get the news, watch videos, and so on. It’s transitioned from a telephone to a full-fledged hub. Part of that hub can be radio, but very little listening to radio occurs through the device.”

Steve says radio stations need to think beyond the transmitter and audio stream. While there are only so many radio stations in a market, there are 100,000 radio stations available via the TuneIn Radio app, streaming services like Spotify and Pandora, and 400,000 podcasts. “You’re talking about an awful lot of audio,” he asserts. “The focus needs to be on-demand content. That’s the trend. The expectation today is that content is available on-demand.” The ability to listen whenever and wherever a listener desires—in the car, while they’re walking the dog, when they’re exercising—is in step with today’s lifestyles.

Steve Goldstein

It’s the same arc we’ve seen on the video side with on-demand services such as Netflix, Hulu, and others. While adoption has been slower on the audio side, the conversion is happening rapidly among millennials.

An Edison Research study from NPR earlier this year showed that somewhere between 7-11% of homes in the U.S. have these devices and the largest group of users is millennials (18-34). And we should expect this trend to continue, especially with the holidays upon us. “We should expect these devices are going to sell like hotcakes over holiday season,” Steve says. He points out that some analysts predict that market penetration may increase to 15-18% by the end of the year.

Smart Speaker

With the trend toward radio and audio consumption through smart devices, it’s apparent the way forward for broadcasters is to develop new ways to connect audiences to their content.

Got Skills?
You’ve probably heard the term skills thrown about when smart speakers are discussed. So what exactly are skills? And how do they relate to broadcast audio consumption via smart speakers? Steve explains. “Think of smart speakers as computers… They don’t know what to do until you teach it. In this case, Amazon refers to the learning aspect of the device as a skill. We develop skills and invocations for the stations we work with.”

As an example, Sonic Ai built a skill for WMMR in Philadelphia called ‘Open MMR.’ The listener hears a greeting from the morning show, then is offered a menu of choices. Listeners can choose to listen to the live stream, the latest podcast of the morning show, or the show’s top feature, called ‘The Bizarre Files’—an 8-12 minute piece of audio you can listen to without sitting through the entire morning show. Steve says WMMR has seen significant traction from listeners who missed the segment on the morning show tuning in to listen at a time convenient to them.

For a top-performing morning show, this is huge; for the first time, there’s a retention strategy, with the ability to repurpose and reuse audio. Additionally, in PPM markets, listening to content within 24 hours of the original broadcast is accretive to a station’s ratings.

Steve points out that when it comes to a radio station’s invocations and skills, getting it right is essential. Depending on the name or phrase used to identify a station, the invocation might not provide the audio stream you’re looking for. Steve cites the phrase ‘Lite FM’ as an example. “If you say ‘Play Lite FM’ as your invocation, you’re going to get Lite FM in Beirut, Lebanon, or an Inspirational station in Albany, NY. So you need to get your name and invocation correct, and register it.”

Steve suggests however that if stations are only doing this for streaming purposes, that’s not enough. “The real opportunity is with on-demand audio, which is what we’re focused on.”

The capabilities of smart speakers are constantly being enhanced, and they’re used for a variety of tasks, but audio is by far the top option. That’s the good news, Steve says, but the challenge for broadcasters is that that audio is coming from a variety of sources. “The linear AM/FM notion is going away, but the notion that broadcasters create relevant content is not, so they need to be more flexible about where content is being consumed, less focused on the transmitter, and more focused on devices that can play audio.”

It’s a new challenge, but with booming sales of smart speakers and potential for a measurable increase in listeners, it’s a challenge broadcasters need to embrace. Steve sums it up. “Broadcasters need to get out of the radio business and into the audio business. That will change your thinking about everything.” For the Silo, Dave Sarkies/Telos Alliance.

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For more about the impact of smart speakers on the broadcast industry, check out TWiRT 372 – Tom Vernon on Smart Speakers